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Record W2023068398 · doi:10.1109/iecon.2012.6389258

Fabrication of silicon micro-rod array with controlled density and size distribution using porous silicon

2012· article· en· W2023068398 on OpenAlexaff
Bahareh Yaghootkar, M. Amouzgar, Mojtaba Kahrizi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicNanowire Synthesis and Applications
Canadian institutionsConcordia University
Fundersnot available
KeywordsMaterials scienceEtching (microfabrication)SiliconFabricationScanning electron microscopePorous siliconRodNanotechnologyOptoelectronicsComposite material

Abstract

fetched live from OpenAlex

A novel multistage fabrication method was used to create uniform silicon micro-rod array with controlled density and size characteristics, as basis for micro-machining applications. This method includes texturing using TMAH wet etching, electrochemical anodic etching, and NaOH post-processing stages. Scanning Electron Microscopy (SEM) and image analysis was used to characterize the micro-rods and the silicon surface morphology. The directional growth of the micro-rods can be credited to textured surface created by the anisotropic etching of the Si (100) orientation surface. The textured silicon surface is made of pyramids with controlled density and size distribution resulting in the creation of microrod array with pre-determined density and location. The well-controlled etching time of the NaOH post-processing stage results in the creation of the microrod array with tunable size characteristics.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.084
Threshold uncertainty score0.333

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.208
Teacher spread0.200 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2012
Admission routes1
Has abstractyes

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